No MCMC for me: Amortized sampling for fast and stable training of
energy-based models

No MCMC for me: Amortized sampling for fast and stable training of energy-based models

8 October 2020

Mohammad Norouzi

Papers citing "No MCMC for me: Amortized sampling for fast and stable training of energy-based models"

14 / 14 papers shown

Title
Classification-Denoising Networks Louis Thiry Florentin Guth 34 0 0 04 Oct 2024
Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models Sangwoong Yoon Himchan Hwang Dohyun Kwon Yung-Kyun Noh Frank C. Park 34 3 0 30 Jun 2024
Balanced Training of Energy-Based Models with Adaptive Flow Sampling Louis Grenioux Eric Moulines Marylou Gabrié 13 2 0 01 Jun 2023
GEDI: GEnerative and DIscriminative Training for Self-Supervised Learning Emanuele Sansone Robin Manhaeve SSL 20 9 0 27 Dec 2022
A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model Jianwen Xie Y. Zhu J. Li Ping Li 24 50 0 13 May 2022
Learning Implicit Priors for Motion Optimization Julen Urain An T. Le Alexander Lambert Georgia Chalvatzaki Byron Boots Jan Peters 28 24 0 11 Apr 2022
COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics Lianhui Qin Sean Welleck Daniel Khashabi Yejin Choi AI4CE 46 144 0 23 Feb 2022
Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling Greg Ver Steeg Aram Galstyan 33 13 0 03 Nov 2021
Bounds all around: training energy-based models with bidirectional bounds Cong Geng Jia Wang Zhiyong Gao J. Frellsen Søren Hauberg 24 15 0 01 Nov 2021
Energy-Based Open-World Uncertainty Modeling for Confidence Calibration Yezhen Wang Bo-wen Li Tong Che Kaiyang Zhou Ziwei Liu Dongsheng Li UQCV 22 47 0 27 Jul 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models Sam Bond-Taylor Adam Leach Yang Long Chris G. Willcocks VLM TPM 36 480 0 08 Mar 2021
How to Train Your Energy-Based Models Yang Song Diederik P. Kingma DiffM 24 241 0 09 Jan 2021
Learning Energy-Based Models With Adversarial Training Xuwang Yin Shiying Li Gustavo K. Rohde AAML DiffM 33 9 0 11 Dec 2020
Improved Contrastive Divergence Training of Energy Based Models Yilun Du Shuang Li J. Tenenbaum Igor Mordatch 36 138 0 02 Dec 2020